[1]} introduce a set of humor-dependent or irony-dependent features related to ambiguity, unexpectedness, and emotional scenario. Ambiguity features cover structural, morphosyntactic, semantic ambiguity, while unexpectedness features gauge semantic relatedness. As we discussed, [2]}, in addition to a rule-based classifier, use a set of patterns, specifically positive verbs and negative situation phrases, as features. [3]} use bigrams and trigrams and similarly, [4]} look into skip-gram and character-level features. In a kindred effort, [5]} use word-shape and pointedness features. [6]} include seven sets of features such as maximum/minimum/gap of intensity of adjectives and adverbs, max/min/average number of synonyms and synsets for words in the target text, and so on. [7]} incorporate ellipsis, hyperbole, and imbalance in their set of features. [8]} use features corresponding to the linguistic theory of incongruity. The features are classified into two sets: implicit and explicit incongruity-based features.
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